Sheng-Fu Wang

Natural Language Processing · 2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng-Fu Wang trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Samuel R. Bowman (in Natural Language Processing)
  2. Tal Linzen (in Artificial Intelligence)
  3. Richard Socher (in Artificial Intelligence)
  4. Kenton C. T. Lee (in Artificial Intelligence)
  5. Yoav Goldberg (in Artificial Intelligence)
  6. Christopher D. Manning (in Artificial Intelligence)

Papers from Sheng-Fu Wang's perspective

Ordered by how strongly the researchers Sheng-Fu Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. GloVe: Global Vectors for Word Representation
  4. Language Models are Unsupervised Multitask Learners
  5. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  6. Long Short-Term Memory
  7. ImageNet classification with deep convolutional neural networks
  8. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers